{
    "cells": [
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "# Iris Data Analysis\n",
       "This notebook shows data exploration with Plotly and Pandas."
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "import numpy as np\n",
       "import pandas as pd\n",
       "import matplotlib.pyplot as plt\n",
       "from plotly.data import iris"
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "df = iris()\n",
       "print('Data loaded:', df.shape)"
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "df.rename(columns={'sepal_width':'Sepal_Width'}, inplace=True)\n",
       "unique_species = df['species'].unique()\n",
       "print('Unique species:', unique_species)"
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "# Scatter Plot: Sepal Length vs Sepal Width\n",
       "colors = {'setosa':'red', 'versicolor':'green', 'virginica':'blue'}\n",
       "plt.scatter(df['Sepal_Width'], df['sepal_length'], c=df['species'].map(colors), alpha=0.5)\n",
       "plt.xlabel('Sepal Width')\n",
       "plt.ylabel('Sepal Length')\n",
       "plt.title('Sepal Length vs Sepal Width')\n",
       "plt.show()"
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "# Bar Chart: Species Counts\n",
       "species_counts = df['species'].value_counts()\n",
       "species_counts.plot(kind='bar', color=['red', 'green', 'blue'], title='Species Counts')\n",
       "plt.xlabel('Species')\n",
       "plt.ylabel('Count')\n",
       "plt.show()"
      ]
     },
     {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
       "# Histogram: Sepal Length Distribution\n",
       "plt.hist(df['sepal_length'], bins=20, color='purple', alpha=0.7)\n",
       "plt.xlabel('Sepal Length')\n",
       "plt.ylabel('Frequency')\n",
       "plt.title('Distribution of Sepal Length')\n",
       "plt.show()"
      ]
     }
    ],
    "metadata": {
     "kernelspec": {
      "display_name": ".venv",
      "language": "python",
      "name": "python3"
     },
     "language_info": {
      "codemirror_mode": {
       "name": "ipython",
       "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.4"
     }
    },
    "nbformat": 4,
    "nbformat_minor": 2
   }
